The following subsections contain the draws omitted from the main text and more details on the. Let Y n reflect the quasi-difference of the
|
|
- Robert Nicholson
- 5 years ago
- Views:
Transcription
1 Part I Appendices A Technical Appendix The following subsections contain the draws omitted from the main text and more details on the draw of the factors. A.1 Generating σ 2 Θ σ 2, F, Y Next, we draw σ 2 n conditional on Y, F, and Θ σ 2 n. Let Y n reflect the quasi-difference of the vector Y n and X n reflect the quasi-difference of the vector X n = [1 T, f 0, Fγ n ], conditioned on the accepted value of γ n. The innovation variance is a straightforward draw from an inverse gamma posterior ( σ 2 ν 0 + T n Y, X,Θ σ 2 n Γ, Υ 0 + ( ) ( )) Y n X n β n Yn X n β n. 2 2 A.2 Generating ψ Θ ψ, F, Y The set of serial correlation coeffi cients, ψ n = [ ] ψ n1,.., ψ npε, can be sampled, conditional on Θ ψ, F, and Y, in a Metropolis-Hastings (MH) step [Chib (1993); Chib and Greenberg (1994)]. We draw a candidate ψ n from the proposal density: ψ n N (w n, W n ), where W n = W 0 + σ 2 n ε nε n, w n = W n ( W 1 0 w 0 + σ 2 n ε n ε n0 ), ε n = [ ε n1,..., ε npε ], ε nk = [ε n,pε+1 k,..., ε n,t k ], and M ε nt = y nt β n0 β ng f t γ ni β ni F it. Once we have obtained a candidate, it is accepted with probability i 31
2 { Ψ (ψ } A n,ψ = min n ) Ψ (ψ n ), 1, (9) where [ Ψ (ψ n ) = Σ n 1/2 exp 1 ] 2σ 2 (Y n X n β n ) Σ 1 n (Y n X n β n ), n the quantity Σ n is the function defined above of either the candidate or last iteration value of ψ n, and the denominator in (9) is computed with the value from the previous iteration. Thus, the acceptance probability is the ratio of the pseudo-likelihoods for the candidate and the past accepted draw. A.3 Generating φ Θ φ, F, Y The draw for φ i = [ ] φ i0, φ i1,.., φ ipf for i = 1,..., M is similar to the draw of ψn the prevous subsection. The candidate factor AR coeffi cients are drawn from the proposal: φ i N (v i, V i ), where v i = V i ( V 1 0 v 0 + e iê i0 ), V i = V 0 + ε iε i, e i = [ê i1,..., ê ipf ], ê ik = [e i,pf +1 k,..., e i,t k ], and e it = F it φ i (L) F it 1. As before, the candidate is accepted with a probability Ψ (φ i ) A n,φ = min ( ), 1 Ψ, φ [g 1] i where the pseudo-likelihood, Ψ (φ i ), is [ Ψ (φ i ) = Ω i 1/2 exp 1 ] 2ê i0ω 1 i ê i0 32
3 with Ω i defined as above. The same algorithm is repeated to obtain the AR parameters for the global factor. A.4 Generating F Θ, φ, Y The factors are generated recursively from posterior distributions obtained from the modified Kalman filter described in Kim and Nelson (1999). For notational simplicity, we describe the case in which the factors and observation errors have the same lag order, p. Let ỹ t = y t β 0 represent the conditionally demeaned data and ρ t = [F t, ε t,..., F t+1 p, ε t+1 p ] be the state vector. Define N = M + N + 1. Then, the state-space representation is described by ỹ t = Hρ t, (10) where [ H = β G γβ 1 N N 0 N N(p 1) ] ; G = G i = diag [ φ G,i, φ 1,i,..., φ M,i, ψ 1,i,..., ψ N,i ] ; ût = ρ t = Gρ t 1 + û t ; (11) G 1 G p 1 N(p 1) N(p 1) 0 N(p 1) N ; [ e t, ɛ t, 0 N (p 1)] ; Et [û t û t] = Q; and Q = diag [ ω 2 G, ω2 1,..., ω2 M, σ2 1,..., ] σ2 N 0 N N(p 1). 0 N(p 1) N 0 N(p 1) N(p 1) The Kalman filter sequentially updates the linear projection for the system (10) and (11) above. Given an initialization for the state vector, ρ 0 0, and for the unconditional density of the state vector; P 0 0, the Kalman filter computes the prediction density by propagating the state vector through the transition equation, (11), to obtain an estimate of the state vector at period t conditional on 33
4 information available at time t 1: ρ t t 1 = Gρ t 1 t 1, P t t 1 = GP t 1 t 1 G + Q. The filter then updates this prediction given the new (observable) information realized at time t as: ρ t t = ρ t t 1 + P t t 1 H (H P t t 1 H + R) 1 (ỹ t Hρ t t 1 ), P t t = P t t 1 P t t 1 H (H P t t 1 H + R) 1 HP t t 1. The factors are then sampled recursively from a Gaussian distribution with one additional step. Because Q is singular and we are interested only in drawing the factors, Kim and Nelson (1999) show that the dimensions of Q, G, and the state variable must be reduced. They define Q as the upper (M + 1) (M + 1) submatrix of Q and [ G = G 1 0 (M+1 N) G 2 0 (M+1 N) G p 0 (M+1 N) ], where G i is defined above. The last iteration of the Kalman filter yields ρ T T and P T T from which we can draw F T. Then, ) we recursively draw F t 1 from N (ρ t t,ρ, P t+1 t t,ρ, where t+1 ρ t t,ρ t+1 = ρ t t + P t t G (G P t t G + Q ) 1 (ρ t+1 G ρ t t ), P t t,ρ t+1 = P t t P t t G (G P t t G + Q ) 1 G P t t. A.5 Computing the Bayes Factors Chib (1995) uses the basic marginal likelihood identity to approximate the marginal likelihood using the output from the Gibbs sampler: 34
5 ln m (Y) = ln f (Y Θ ) + ln π (Θ ) ln π (Θ Y), (12) where Θ is the vector of model parameters, ln m (Y) is the log marginal likelihood, ln f (Y Θ ) is the log likelihood evaluated at a given Θ = Θ, ln π (Θ ) is the log of the prior evaluated at Θ, ln π (Θ Y) is the posterior ordinate, and Θ is any high-density value of Θ (e.g., a modal point). The posterior ordinate ln π (Θ Y) can be computed by expanding the expression π (Θ Y) as π (Θ Y) = π (Θ 1 Y) π (Θ 2 Y, Θ 1)... π ( Θ N Y, Θ 1,..., Θ N 1), where here N represents the number of blocks in the sampler. The first term can be obtained from the initial run of the Gibbs sampler. A typical term for block n in the above representation is π ( Θ n Y, Θ 1,..., Θ n 1), which can be estimated by additional sampling of {Θn+1..., Θ N, F} holding constant {Θ 1,..., Θ n}. In general, the estimate of the posterior ordinate, π (Θ n Y), is then π (Θ n Y) = 1 G G g=1 ( π Θ n Y, Θ 1,..., Θ n 1, Θ (g) n+1,..., Θ(g) N, F (g) 0, F (g) 1,..., F (g) M, f (g) 1,..., f (g) For the blocks requiring an MH step, we employ the method of Chib and Jeliazkov (2001), which computes the posterior ordinate as proportional to the sum of the candidates weighted by their appropriate acceptance probabilities. N ). 35
6 B Data Openness is measured in constant prices (percent in 2005 constant prices); exports + imports divided by real GDP per capita (RGDPL) and represents the total trade as a percentage of GDP. Investment share of RGDPL is defined in 2005 constant prices. Real GDP chain per equivalent adult (in 2005 constant prices) computes output with weights of 1.0 to all persons over age 15 and 0.5 for those younger than age 15. The dispersion indices used in the estimation are obtained from Baxter and Kouparitsas (2005). Country Listing Latin America Europe Costa Rica Bolivia France Italy Domincan Republic Brazil Austria Luxembourg El Salvador Chile Belgium Netherlands Guatemala Columbia Denmark Norway Honduras Ecuador Finland Portugal Jamaica Paraguay Germany Spain Panama Peru Greece Sweden Trinidad Uruguay Iceland Switzerland Argentina Venezuela Ireland United Kingdom Oceania Africa Asia 1 Asia 2 Australia Cameroon Bangladesh Hong Kong New Zealand Ivory Coast India Japan North America Kenya Indonesia South Korea Canada Morocco Pakistan Malaysia United States Senegal Philippines Singapore Mexico South Africa Sri Lanka Thailand Zimbabwe Table 7: Countries. Regions in bold reflect the groupings imposed in Kose, Otrok, and Whiteman (2003). 36
7 C Full Posterior Distributions Posterior M eans, M edians, and Coincidence Intervals for Cluster Loadings β 1 β 2 β 3 M ean M edian 16th-84th M ean M edian 16th-84th M ean M edian 16th-84th A rgentina A ustralia N A N A N A N A N A N A N A N A A ustria N A N A N A N A B angladesh B elgium B olivia B razil C am ero on C anada C hile C olom bia C osta R ica Ivory C oast D enm ark N A N A N A N A D om. R epublic E cuador El Salvador F inland N A N A N A N A N A N A N A N A France G erm any G reece G uatem ala H onduras H ong K ong Iceland India Indonesia Ireland Italy N A N A N A N A N A N A N A N A Jam aica Table 8: Posterior Means, Medians, 16th and 84th percentiles for the cluster loadings. Notees: NA represents that the observation never chose that cluster and its corresponding loading was not sampled. The sample size of each parameter depends on the number of times an observation belongs to one cluster. For example; the mean value for the first cluster loading for Argentina is the sum of loadings for Argentina in that cluster divided by the number of times Argentina falls in cluster 1. 37
8 Posterior M eans, M edians, and Coincidence Intervals for Cluster Loadings β 1 β 2 β 1 M ean M edian 16th-84th M ean M edian 16th-84th M ean M edian 16th-84th Japan K enya K orea L uxem b ourg M alaysia M exico M orocco N etherlands N ew Z ealand N orway Pakistan Panam a Paraguay Peru P hilippines Portugal N A N A N A N A Senegal Singap ore South A frica Spain N A N A N A N A Sri Lanka Sweden N A N A N A N A N A N A N A N A Sw itzerland N A N A N A N A N A N A N A N A T hailand Trinidad & Tobago U nited K ingdom N A N A N A N A N A N A N A N A U nited States N A N A N A N A U ruguay Venezuela N A N A N A N A Z im babwe Table 9: Posterior Means, Medians, 16th and 84th percentiles for the cluster loadings. Notes: NA represents that the observation never chose that cluster and its corresponding loading was not sampled. 38
9 Posterior M eans, M edians, and Coincidence Intervals for Parameters β 0 β G σ 2 M ean M edian 16th-84th M ean M edian 16th-84th M ean M edian 16th-84th A rgentina A ustralia A ustria B angladesh B elgium B olivia B razil C am ero on C anada C hile C olom bia C osta R ica Ivory C oast D enm ark D om. R epublic E cuador El Salvador F inland France G erm any G reece G uatem ala H onduras H ong K ong Iceland India Indonesia Ireland Italy Jam aica Table 10: Posterior Means, Medians, and Coincidence Intervals for Parameters. Notes: The columns show posterior means, medians, 16th and 84th percentiles for the parameters: intercept, global factor loading and the idiosyncratic variance. 39
10 Posterior M eans, M edians, and Coincidence Intervals for Parameters β 0 β G σ 2 M ean M edian 16th-84th M ean M edian 16th-84th M ean M edian 16th-84th Japan K enya K orea L uxem b ourg M alaysia M exico M orocco N etherlands N ew Z ealand N orway Pakistan Panam a Paraguay Peru P hilippines Portugal Senegal Singap ore South A frica Spain Sri Lanka Sweden Sw itzerland T hailand Trinidad & Tobago U nited K ingdom U nited States U ruguay Venezuela Z im babwe Table 11: Posterior Means, Medians, and Coincidence Intervals for Parameters. Notes: The columns show posterior means, medians, 16th and 84th percentiles for the parameters: intercept, global factor loading and the idiosyncratic variance. 40
11 Cluster Probabilities: Posterior Means Cluster 1 Cluster 2 Cluster 3 Cluster 1 Cluster 2 Cluster 3 Argentina Japan Australia Kenya Austria Korea Bangladesh Luxembourg Belgium Malaysia Bolivia Mexico Brazil Morocco Cameroon Netherlands Canada New Zealand Chile Norway Colombia Pakistan Costa Rica Panama Ivory Coast Paraguay Denmark Peru Dom. Republic Philippines Ecuador Portugal El Salvador Senegal Finland Singapore France South Africa Germany Spain Greece Sri Lanka Guatemala Sweden Honduras Switzerland Hong Kong Thailand Iceland Trinidad & Tobago India United Kingdom Indonesia United States Ireland Uruguay Italy Venezuela Jamaica Zimbabwe Table 12: Cluster Probabilities. Notes: Each value represents the posterior means of the cluster membership indicator for each country. 41
2017 Source of Foreign Income Earned By Fund
2017 Source of Foreign Income Earned By Fund Putnam Emerging Markets Equity Fund EIN: 26-2670607 FYE: 08/31/2017 Statement Pursuant to 1.853-4: The fund is hereby electing to apply code section 853 for
More informationSolow model: Convergence
Solow model: Convergence Per capita income k(0)>k* Assume same s, δ, & n, but no technical progress y* k(0)=k* k(0) k Assume same s, δ, &
More informationSupplementary Appendix for. Version: February 3, 2014
Supplementary Appendix for When Do Governments Resort to Election Violence? Version: February 3, 2014 This appendix provides supplementary information not included in the published draft. Supplementary
More informationDISTILLED SPIRITS - EXPORTS BY VALUE DECEMBER 2017
DISTILLED SPIRITS - EXPORTS BY VALUE DECEMBER 2017 U.S. COMMERCIAL EXPORTS OF DISTILLED SPIRITS - DECEMBER 2017 (U.S. DOLLARS) Da-Value-17-12 SUMMARY BY CLASS CLASS DECEMBER DECEMBER DOLLAR YTD YTD DOLLAR
More information04 June Dim A W V Total. Total Laser Met
4 June 218 Member State State as on 4 June 218 Acronyms are listed in the last page of this document. AUV Mass and Related Quantities Length PR T TF EM Mass Dens Pres F Torq Visc H Grav FF Dim A W V Total
More informationAbout the Authors Geography and Tourism: The Attraction of Place p. 1 The Elements of Geography p. 2 Themes of Geography p. 4 Location: The Where of
Preface p. ix About the Authors p. xi Geography and Tourism: The Attraction of Place p. 1 The Elements of Geography p. 2 Themes of Geography p. 4 Location: The Where of Geography p. 4 Place and Space:
More informationUSDA Dairy Import License Circular for 2018
USDA Dairy Import License Circular for 2018 Commodity/Note Country Name TRQ Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Grand Total Non-Cheese 21,864,781 624,064 651,121 432,669 901,074 1,202,567 907,493
More informationDo Policy-Related Shocks Affect Real Exchange Rates? An Empirical Analysis Using Sign Restrictions and a Penalty-Function Approach
ISSN 1440-771X Australia Department of Econometrics and Business Statistics http://www.buseco.monash.edu.au/depts/ebs/pubs/wpapers/ Do Policy-Related Shocks Affect Real Exchange Rates? An Empirical Analysis
More information2001 Environmental Sustainability Index
2001 Environmental Sustainability Index Annex 6: Variable Descriptions and Data An Initiative of the Global Leaders of Tomorrow Environment Task Force, World Economic Forum Annual Meeting 2001 Davos, Switzerland
More informationUSDA Dairy Import License Circular for 2018
USDA Dairy Import License Circular for 2018 Commodity/Note Country Name TRQ Jan Feb Mar Apr May Jun Grand Total Non-Cheese 21,864,781 624,064 651,121 432,669 901,074 1,202,567 907,493 4,718,988 BUTTER
More informationInternational Student Enrollment Fall 2018 By CIP Code, Country of Citizenship, and Education Level Harpur College of Arts and Sciences
International Student Enrollment Fall 2018 By CIP Code, Country of Citizenship, and Education Level Harpur College of Arts and Sciences CIP Code Description Citizenship Graduate Undergrad Total 00.0000
More informationFully Modified HP Filter
Fully Modified HP Filter By M. Nadim Hanif, Javed Iqbal and M. Ali Choudhary (Research Department, State Bank of Pakistan) The paper is available (with code) as SBP Working Paper 88 on: www.sbp.org.pk/publications/wpapers
More informationRadiation Protection Procedures
S A F E T Y S E R IE S N o. 38 Radiation Protection Procedures IN T E R N A T IO N A L A T O M IC E N E R G Y A G E N C Y, V IEN N A, 1973 R A D I A T I O N P R O T E C T I O N P R O C E D U R E S The
More informationGovernments that have requested pre-export notifications pursuant to article 12, paragraph 10 (a), of the 1988 Convention
Annex X Governments that have requested pre-export notifications pursuant to article 12, paragraph 10 (a), of the 1988 Convention 1. Governments of all exporting countries and territories are reminded
More informationCanadian Imports of Honey
of 0409000029 - Honey, natural, in containers of a weight > 5 kg, nes (Kilogram) Argentina 236,716 663,087 2,160,216 761,990 35.27% 202.09% /0 76,819 212,038 717,834 257,569 35.88% 205.69% /0 United States
More informationCountry of Citizenship, College-Wide - All Students, Fall 2014
Country of Citizenship, College-Wide - All Students, Fall 2014-49,552 (72%) students were U.S. Citizens in Fall 2014. - MDC's non-citizen students come from at least 167 countries and speak approximately
More informationChapter 8 - Appendixes
Chapter 8 - Appendixes Appendix 8.. Individual Preferences for Growth, Environment, and Income Distribution Funds to be invested in projects that Funds to be invested in projects to Funds to be invested
More informationDoes socio-economic indicator influent ICT variable? II. Method of data collection, Objective and data gathered
Does socio-economic indicator influent ICT variable? I. Introduction This paper obtains a model of relationship between ICT indicator and macroeconomic indicator in a country. Modern economy paradigm assumes
More informationREADY TO SCRAP: HOW MANY VESSELS AT DEMOLITION VALUE?
READY TO SCRAP: HOW MANY VESSELS AT DEMOLITION VALUE? August 206 VesselsValue Global number of vessels at demolition value At scrap value 7,27 6 Above scrap value,8 84 Number of vessels at demolition value
More informationHow Well Are Recessions and Recoveries Forecast? Prakash Loungani, Herman Stekler and Natalia Tamirisa
How Well Are Recessions and Recoveries Forecast? Prakash Loungani, Herman Stekler and Natalia Tamirisa 1 Outline Focus of the study Data Dispersion and forecast errors during turning points Testing efficiency
More informationPRECURSORS. Pseudoephedrine preparations 3,4-MDP-2-P a P-2-P b. Ephedrine
ANNEXES Annex II Annual legitimate requirements for ephedrine, pseudoephedrine, 3,4-methylenedioxyphenyl-2-propanone and 1-phenyl-2-propanone, substances frequently used in the manufacture of amphetamine-type
More informationDISTILLED SPIRITS - IMPORTS BY VALUE DECEMBER 2017
DISTILLED SPIRITS - IMPORTS BY VALUE DECEMBER 2017 U.S. DUTIABLE IMPORTS OF DISTILLED SPIRITS (U.S. DOLLARS) Ea-Value-17-12 SUMMARY: IMPORTS ENTERED FOR CONSUMPTION CLASS DECEMBER DECEMBER PERCENT JANUARY
More informationUSDA Dairy Import License Circular for 2018 Commodity/
USDA Dairy Import License Circular for 2018 Commodity/ Grand Country Name TRQ Jan Feb Mar Apr May Jun Jul Aug Sep Note Total Non-Cheese 21,864,781 624,064 651,121 432,669 901,074 1,202,567 907,493 1,117,261
More informationDISTILLED SPIRITS - IMPORTS BY VOLUME DECEMBER 2017
DISTILLED SPIRITS - IMPORTS BY VOLUME DECEMBER 2017 U.S. DUTIABLE IMPORTS OF DISTILLED SPIRITS (PROOF GALLONS) Ea-17-12 SUMMARY: IMPORTS ENTERED FOR CONSUMPTION CLASS DECEMBER DECEMBER PERCENT JANUARY
More informationA Prior Distribution of Bayesian Nonparametrics Incorporating Multiple Distances
A Prior Distribution of Bayesian Nonparametrics Incorporating Multiple Distances Brian M. Hartman 1 David B. Dahl 1 Debabrata Talukdar 2 Bani K. Mallick 1 1 Department of Statistics Texas A&M University
More informationAppendix B: Detailed tables showing overall figures by country and measure
44 country and measure % who report that they are very happy Source: World Values Survey, 2010-2014 except United States, Pew Research Center 2012 Gender and Generations survey and Argentina 32% 32% 36%
More informationFall International Student Enrollment Statistics
International Student & Scholar Services Fall 2006 International Student Enrollment Statistics Julie Misa Director www.ips.uiuc.edu/isss Contents Summary...3 International Student Enrollment by Country...5
More informationDoes Corruption Persist In Sub-Saharan Africa?
Int Adv Econ Res (2009) 15:336 350 DOI 10.1007/s11294-009-9210-2 ORIGINAL PAPER Does Corruption Persist In Sub-Saharan Africa? Nicole Bissessar Published online: 12 June 2009 # International Atlantic Economic
More informationIntroduction to regression. Paul Schrimpf. Paul Schrimpf. UBC Economics 326. January 23, 2018
Introduction UBC Economics 326 January 23, 2018 Review of last week Expectations and conditional expectations Linear Iterated expectations Asymptotics using large sample distribution to approximate finite
More informationOffice of Budget & Planning 311 Thomas Boyd Hall Baton Rouge, LA Telephone 225/ Fax 225/
Louisiana Acadia 25 19 4 2 0 0 Allen 8 7 1 0 0 0 Ascension 173 143 26 1 0 3 Assumption 14 12 2 0 0 0 Avoyelles 51 41 9 0 0 1 Beauregard 18 14 3 0 0 1 Bienville 5 0 4 0 1 0 Bossier 28 27 0 1 0 0 Caddo 95
More informationExport Destinations and Input Prices. Appendix A
Export Destinations and Input Prices Paulo Bastos Joana Silva Eric Verhoogen Jan. 2016 Appendix A For Online Publication Figure A1. Real Exchange Rate, Selected Richer Export Destinations UK USA Sweden
More informationAP Human Geography Summer Assignment
P Human Geography Summer ssignment P Human Geography is not a traditional geography class. Instead of learning about the locations of physical and political features, this course focuses on the interactions
More informationGrand Total Baccalaureate Post-Baccalaureate Masters Doctorate Professional Post-Professional
s by Location of Permanent Home Address and Degree Level Louisiana Acadia 26 19 0 6 1 0 0 0 0 Allen 7 7 0 0 0 0 0 0 0 Ascension 275 241 3 23 1 6 0 1 0 Assumption 13 12 0 1 0 0 0 0 0 Avoyelles 15 11 0 3
More informationICC Rev August 2010 Original: English. Agreement. International Coffee Council 105 th Session September 2010 London, England
ICC 105-7 Rev. 1 31 August 2010 Original: English Agreement E International Coffee Council 105 th Session 21 24 September 2010 London, England Obstacles to consumption Background 1. In accordance with
More informationMULTIPLE REGRESSION. part 1. Christopher Adolph. and. Department of Political Science. Center for Statistics and the Social Sciences
CSSS/SOC/STAT 321 Case-Based Statistics I MULTIPLE REGRESSION part 1 Christopher Adolph Department of Political Science and Center for Statistics and the Social Sciences University of Washington, Seattle
More informationCorporate Governance, and the Returns on Investment
Corporate Governance, and the Returns on Investment Klaus Gugler, Dennis C. Mueller and B. Burcin Yurtoglu University of Vienna, Department of Economics BWZ, Bruennerstr. 72, A-1210, Vienna 1 Considerable
More informationGovernment Size and Economic Growth: A new Framework and Some Evidence from Cross-Section and Time-Series Data
1 Government Size and Economic Growth: A new Framework and Some Evidence from Cross-Section and Time-Series Data Original Paper by Rati Ram (1986) Replication and Extension by Nicolas Lopez ECON 5341 The
More informationCONTINENT WISE ANALYSIS OF ZOOLOGICAL SCIENCE PERIODICALS: A SCIENTOMETRIC STUDY
CONTINENT WISE ANALYSIS OF ZOOLOGICAL SCIENCE PERIODICALS: A SCIENTOMETRIC STUDY Mr.Chopkar Hemraj D. Librarian NKSPT S Arts, Science & Commerce College, Badnapur. (MS) India Mr. Phatak Anil Shahaji Research
More information2,152,283. Japan 6,350,859 32,301 6,383,160 58,239, ,790 58,464,425 6,091, ,091,085 52,565, ,420 52,768,905
Almond Industry Position Report APRIL 2018 2017-2018 Crop Year Salable Forecast Million Lbs. 2017-2018 08/01-04/30 Kernel Wt. 2016-2017 08/01-04/30 Kernel Wt. % Change 1. Carryin August 1, 2017 398.7 398,677,112
More informationBilateral Labour Agreements, 2004
Guest Austria Canada Turkey ( 64) Canada, Czech Republic, Hungary ( 98), Belgium Italy ( 46, 54), Turkey ( 64) Bulgaria ( 99), Pol (02) Germany ( 91) Bulgaria ( 99), Mongolia ( 99), Pol ( 92), Russia (
More informationReconciling conflicting evidence on the origins of comparative development: A finite mixture model approach
Reconciling conflicting evidence on the origins of comparative development: A finite mixture model approach Thomas K.J. Grantham Research Institute on Climate Change and the Environment, London School
More informationFrom Argentina to Zimbabwe: Where Should I Sell my Widgets?
From Argentina to Zimbabwe: Department of Statistics Texas A&M University 15 Feb 2010 Acknowledgments This is joint work with my coauthors Bani Mallick (Texas A&M University) Debu Talukdar (SUNY - Buffalo)
More informationInternational Investment Positions and Exchange Rate Dynamics: A Dynamic Panel Analysis
International Investment Positions and Exchange Rate Dynamics: A Dynamic Panel Analysis Michael Binder 1 Christian J. Offermanns 2 1 Frankfurt and Center for Financial Studies 2 Frankfurt Motivation Empirical
More informationAppendix A. ICT Core Indicators: Definitions
Appendix A. ICT Core Indicators: Definitions ICT indicator Fixed telephone subscriptions per 100 inhabitants Mobile cellular telephone subscriptions per 100 inhabitants Fixed (wired) Internet subscriptions
More informationDemography, Time and Space
Demography, Time and Space Martin Bell The University of Queensland WD Borrie Lecture Australian Population Association 2014 Conference Hobart, Tasmania Wednesday December 3rd 2014 Professor WD (Mick)
More informationOffice of Budget & Planning 311 Thomas Boyd Hall Baton Rouge, LA Telephone 225/ Fax 225/
Louisiana Acadia 20 17 3 0 0 0 Allen 2 2 0 0 0 0 Ascension 226 185 37 2 1 1 Assumption 16 15 1 0 0 0 Avoyelles 20 19 1 0 0 0 Beauregard 16 11 4 0 0 1 Bienville 2 2 0 0 0 0 Bossier 22 18 4 0 0 0 Caddo 91
More informationTMM UPDATE TRANS DAY OF REMEMBRANCE 2017
TMM UPDATE TRANS DAY OF REMEMBRANCE 2017 2,609 reported murders of trans and gender-diverse people between 1 January 2008 and 30 September 2017 World Regions/Countries All regions Africa South Africa 1
More informationBig Data at BBVA Research using BigQuery
Big Data at BBVA Research using BigQuery Tomasa Rodrigo June 2017 Google Cloud Next Click here to modify the style of the master title Summary 01 What is GDELT and how BigQuery helps us to exploit it 02
More informationInternational and regional network status
WORLD METEOROLOGICAL ORGANIZATION JOINT MEETING OF CBS EXPERT TEAM ON SURFACE-BASED REMOTELY- SENSED OBSERVATIONS (Second Session) AND CIMO EXPERT TEAM ON OPERATIONAL REMOTE SENSING (First Session) CBS/ET-SBRSO-2
More informationOfficial Journal of the European Union L 312/19 COMMISSION
9.10.2004 Official Journal of the European Union L 312/19 COMMISSION COMMISSION DECISION of 27 September 2004 amending Decision 2004/432/EC on the approval of residue monitoring plans submitted by third
More informationUniversity of Oklahoma, Norman Campus International Student Report Fall 2014
International Student Report Fall 2014 Prepared by Institutional Research & Reporting June 2015 http://www.ou.edu/content/irr/data-center/annual-reports.html International Student Report Notes and Definitions
More informationSpring 2007 International Student Enrollment by Country, Educational Level, and Gender
Grand AFRICA 3 9 0 0 12 5 8 18 42 3 0 0 0 76 88 EASTERN AFRICA 0 0 0 0 0 2 3 7 16 1 0 0 0 29 29 Burundi 0 0 0 0 0 0 0 1 0 0 0 0 0 1 1 Eritrea 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 Ethiopia 0 0 0 0 0 0 0 1 4 0
More informationForecast Million Lbs. % Change 1. Carryin August 1, ,677, ,001, % 45.0
Almond Industry Position Report DECEMBER 2017 2017-2018 Crop Year Salable Forecast Million Lbs. 2017-2018 08/01-12/31 Kernel Wt. 2016-2017 08/01-12/31 Kernel Wt. % Change 1. Carryin August 1, 2017 398.7
More informationOnline Appendix to: Crises and Recoveries in an Empirical Model of. Consumption Disasters
Online Appendix to: Crises and Recoveries in an Empirical Model of Consumption Disasters Emi Nakamura Columbia University Robert Barro Harvard University Jón Steinsson Columbia University José Ursúa Harvard
More informationINTERNATIONAL S T U D E N T E N R O L L M E N T
The University of California at Berkeley INTERNATIONAL S T U D E N T E N R O L L M E N T Fall 2008 Prepared by: Berkeley International Office 2299 Piedmont Avenue Berkeley, CA 94720-2321 510.642.2818 http://internationaloffice.berkeley.edu/
More informationFall International Student Enrollment & Scholar Statistics
International Student & Scholar Services Fall 2008 International Student Enrollment & Scholar Statistics Julie Misa Director www.ips.uiuc.edu/isss Contents Summary...2 International Student Enrollment
More informationSustainable transport indicators: Definition and integration
Int. A. A. J. Rassafi Environ. and Sci. M. Tech. Vaziri Sustainable transport indicator... Vol. 2, No. 1, pp. 83-96, Spring 2005 Sustainable transport indicators: Definition and integration 1* A. A. Rassafi
More informationHow Well Do Economists Forecast Recessions?
WP/18/39 How Well Do Economists Forecast Recessions? by Zidong An, João Tovar Jalles, and Prakash Loungani IMF Working Papers describe research in progress by the author(s) and are published to elicit
More informationForecast Million Lbs. % Change 1. Carryin August 1, ,677, ,001, % 45.0
Almond Industry Position Report NOVEMBER 2017 2017-2018 Crop Year Salable Forecast Million Lbs. 2017-2018 08/01-11/30 Kernel Wt. 2016-2017 08/01-11/30 Kernel Wt. % Change 1. Carryin August 1, 2017 398.7
More informationKernel Wt. 593,190,150 1,218,046,237 1,811,236, ,364, ,826, ,191, Crop Year
Almond Industry Position Report JULY 2016 2015-2016 Crop Year Salable Forecast Million Lbs. 2015-2016 8/1-7/31 Kernel Wt. 2014-2015 8/1-7/31 Kernel Wt. % Change 1. Carryin August 1, 2015 2. Crop Receipts
More informationInflation Targeting as a Tool To Control Unemployment
Inflation Targeting as a Tool To Control Unemployment - Using the Phillips Curve to study its effectiveness - Manchit Mahajan Subhashish Bhadra St. Stephen s College Delhi University Abstract An Inflation
More informationFall International Student Enrollment Statistics
International Student & Scholar Services Fall 2007 International Student Enrollment Statistics Julie Misa Director www.ips.uiuc.edu/isss Contents Summary...2 International Student Enrollment by Country...3
More informationGrand Total Baccalaureate Post-Baccalaureate Masters Doctorate Professional Post-Professional
s by Location of Permanent Home Address and Degree Level Louisiana Acadia 19 13 0 3 0 3 0 0 0 Allen 5 5 0 0 0 0 0 0 0 Ascension 307 269 2 28 1 6 0 1 0 Assumption 14 12 0 1 0 1 0 0 0 Avoyelles 6 4 0 1 0
More informationBahrain, Israel, Jordan, Kuwait, Saudi Arabia, United Arab Emirates, Azerbaijan, Iraq, Qatar and Sudan.
Publication Date: 4 Dec 2012 Effective Date: 4 Dec 2012 Addendum 3 to the CRI Technical Report, (Version: 2012, Update 2) This document updates the Technical Report (Version: 2012, Update 2) and details
More informationAppendices. Please note that Internet resources are of a time-sensitive nature and URL addresses may often change or be deleted.
Appendices Appendix A Table of Treaties Appendix B State Trademark Registration Provisions Appendix C Resources Appendix D Forms Appendix Appendix E Selected Statutes Please note that Internet resources
More informationGlobal Data Catalog initiative Christophe Charpentier ArcGIS Content Product Manager
Global Data Catalog initiative Christophe Charpentier ArcGIS Content Product Manager ccharpentier@esri.com We are in a global economy Global Economy Business and Operations are now global Strategic need
More informationGINA Children. II Global Index for humanitarian Needs Assessment (GINA 2004) Sheet N V V VI VIII IX X XI XII XII HDR2003 HDR 2003 UNDP
Human UNICEF Index Index Natural 2003 GDP per Total as % of Total Rate HDI HPI Disasters Conflicts capita Population population 5 1 Congo, Democratic Republic of the 2,80000 3 3 1 3 3 3 3 3 3 3 2 Burundi
More informationExport Destinations and Input Prices. Appendix A
Export Destinations and Input Prices Paulo Bastos Joana Silva Eric Verhoogen July 2017 Appendix A For Online Publication Figure A1. Real exchange rate, selected richer destinations relative price level
More informationEuroGeoSurveys & ASGMI The Geological Surveys of Europe and IberoAmerica
EuroGeoSurveys & ASGMI The Geological Surveys of Europe and IberoAmerica Geological Surveys, what role? Legal mandate for data & information: Research Collection Management Interpretation/transformation
More informationSituation on the death penalty in the world. UNGA Vote 2012 Resolutio n 67/176. UNGA Vote 2010 Resolutio n 65/206. UNGA Vote 2008 Resolutio n 63/168
Situation on the death penalty in the world Prepared by the International Commission against the Death Penalty (ICDP), as of 8 June 2014. Based on Amnesty International and Death Penalty Worldwide. Country
More informationBriefing Notes for World Hydrography Day
Briefing Notes for World Hydrography Day - 2017 Mapping our seas, oceans and waterways - more important than ever Purpose of World Hydrography Day In 2005, the General Assembly of the United Nations (UN)
More informationNigerian Capital Importation QUARTER THREE 2016
Nigerian Capital Importation QUARTER THREE 2016 _ November 2016 Capital Importation Data The data on Capital Importation used in this report was obtained from the Central Bank of Nigeria (CBN). The data
More informationMexico, Central America and the Caribbean South America
Objective: This assignment is a way to prepare you for many different aspects of AP Human Geography. You will be held accountable for this assignment; it will be the first grade of the quarter. Failure
More informationHuman Capital, Technology Diffusion and Total Factor Productivity Growth in Regions
Seminar in International Economics 17 September 2018 Human Capital, Technology Diffusion and Total Factor Productivity Growth in Regions Anja Kukuvec Vienna University of Economics and Business (WU) This
More informationNorth-South Gap Mapping Assignment Country Classification / Statistical Analysis
North-South Gap Mapping Assignment Country Classification / Statistical Analysis Due Date: (Total Value: 55 points) Name: Date: Learning Outcomes: By successfully completing this assignment, you will be
More informationOCTOBER Almond Industry Position Report Crop Year /01-10/31 Kernel Wt /01-10/31 Kernel Wt.
Almond Industry Position Report OCTOBER 2018 2018-2019 Crop Year Salable Forecast Million Lbs. 2018-2019 08/01-10/31 Kernel Wt. 2017-2018 08/01-10/31 Kernel Wt. % Change 1. Carryin August 1, 2018 359.0
More informationPublication Date: 15 Jan 2015 Effective Date: 12 Jan 2015 Addendum 6 to the CRI Technical Report (Version: 2014, Update 1)
Publication Date: 15 Jan 2015 Effective Date: 12 Jan 2015 This document updates the Technical Report (Version: 2014, Update 1) and details (1) Replacement of interest rates, (2) CRI coverage expansion,
More informationSUGAR YEAR BOOK INTERNATIONAL SUGAR ORGANIZATION 1 CANADA SQUARE, CANARY WHARF, LONDON, E14 5AA.
SUGAR YEAR BOOK 2017 INTERNATIONAL SUGAR ORGANIZATION 1 CANADA SQUARE, CANARY WHARF, LONDON, E14 5AA www.isosugar.org Copyright 2017 International Sugar Organization All rights reserved. No part of ISO
More informationGravity Analysis of Regional Economic Interdependence: In case of Japan
Prepared for the 21 st INFORUM World Conference 26-31 August 2013, Listvyanka, Russia Gravity Analysis of Regional Economic Interdependence: In case of Japan Toshiaki Hasegawa Chuo University Tokyo, JAPAN
More informationAdditional VEX Worlds 2019 Spot Allocations
Overview VEX Worlds 2019 Spot s Qualifying spots for the VEX Robotics World Championship are calculated twice per year. On the following table, the number in the column is based on the number of teams
More informationW o r l d O i l a n d G a s R e v i e w
W o r l d O i l a n d G a s R e v i e w 2 0 0 8 Pro duction / Produzione In 2006 the world production of natural gas grew by 3.5%, reaching 2,929 billion cubic metres (bcm). In 2006, Russia was the leading
More informationPROPOSED BUDGET FOR THE PROGRAMME OF WORK OF THE CONVENTION ON BIOLOGICAL DIVERSITY FOR THE BIENNIUM Corrigendum
CBD Distr. GENERAL UNEP/CBD/COP/11/10/Corr.1 6 October ORIGINAL: ENGLISH CONFERENCE OF THE PARTIES TO THE CONVENTION ON BIOLOGICAL DIVERSITY Eleventh meeting Hyderabad, India, 8-19 October Item 14.2 of
More informationAnnex 6. Variable Descriptions and Data
Annex 6. Variable Descriptions and Data This section contains complete variable descriptions along with the original data used to produce the 2002 Environmental Sustainability Index. The variables are
More informationA COMPREHENSIVE WORLDWIDE WEB-BASED WEATHER RADAR DATABASE
A COMPREHENSIVE WORLDWIDE WEB-BASED WEATHER RADAR DATABASE Oguzhan SİRECİ 1, Paul JOE 2, Serkan EMINOGLU 3, Kamuran AKYILDIZ 4 1 Turkish State Meteorological Service(TSMS), Kecioren, Ankara Turkey,osireci@gmail.com
More informationUnited States. Mexico
Est Greenland R u s s i a Iceland Norway Sweden Fi Canada United Kingdom Denmark L Lithuan a na N. Korea S. Korea Japan United States Ireland Portugal Morocco Neth. Germany Poland Bel. Lux. Czech Rep.
More informationUniversity of Macedonia Department of Economics. Discussion Paper Series. On the stationarity of per capita carbon dioxide emissions over a century
ISSN 1791-3144 University of Macedonia Department of Economics Discussion Paper Series On the stationarity of per capita carbon dioxide emissions over a century Maria Christidou, Theodore Panagiotidis
More informationCensus 2004 Summary. Membership
Census 2004 Summary Membership Membership Total Men Women Under 19 Over 35 Australia AFDA 1631 1008 623 144 165 Austria OFSV 203 157 46 9 63 Belgium BFDF 250 200 50 150 30 Brazil FPD 100 70 30 30 20 Canada
More informationChapter 14. Representative Table and Composite Regions. Betina V. Dimaranan Representative Table
Chapter 14 Representative Table and Composite Regions Betina V. Dimaranan This chapter describes the representative input-output table and the construction of input-output tables for the composite regions
More informationPIRLS 2016 INTERNATIONAL RESULTS IN READING
Exhibit 2.3: Low International Benchmark (400) Exhibit 2.3 presents the description of fourth grade students achievement at the Low International Benchmark primarily based on results from the PIRLS Literacy
More informationA Note on Human Development Indices with Income Equalities
MPRA Munich Personal RePEc Archive A Note on Human Development Indices with Income Equalities SK Mishra North-Eastern Hill University, Shillong (India) 11. June 2007 Online at http://mpra.ub.uni-muenchen.de/3793/
More informationCurrent Account Dynamics under Information Rigidity and Imperfect Capital Mobility
Crawford School of Public Policy CAMA Centre for Applied Macroeconomic Analysis Current Account Dynamics under Information Rigidity and Imperfect Capital Mobility CAMA Working Paper 56/2018 November 2018
More informationInternational Standardization for Measurement and Characterization of Nanomaterials
2012/SOM2/SCSC/CON/008 International Standardization for Measurement and Characterization of Nanomaterials Submitted by: Japan 9 th Conference on Standards and Conformance in the Field of Innovations and
More informationScaling outcomes. Results of the IRT scaling and population modeling Transforming the plausible values to PISA scales...
Scaling outcomes Results of the IRT scaling and population modeling... Transforming the plausible values to PISA scales... Linking error... International characteristics of the item pool... The statistical
More informationDimensionality Reduction and Visualization
MTTTS17 Dimensionality Reduction and Visualization Spring 2018 Jaakko Peltonen Lecture 7: Nonlinear dimensionality reduction, part 2 Two measures of faithfulness - precision and recall Faithfully? Good
More informationPIRLS 2011 The PIRLS 2011 Teacher Working Conditions Scale
PIRLS 2011 The PIRLS 2011 Teacher Working Conditions Scale The Teacher Working Conditions (TWC) scale was created based on teachers responses concerning five potential problem areas described below. See
More informationTable of Contents. Alumni. Introduction
Alumni Table of Contents Alumni Introduction Office of Alumni Relations and Annual Giving and Alumni Association All Active Alumni: by Preferred Degree Level and Preferred Degree College by Preferred Class
More information2006 Supplemental Tax Information for JennisonDryden and Strategic Partners Funds
2006 Supplemental Information for JennisonDryden and Strategic Partners s We have compiled the following information to help you prepare your 2006 federal and state tax returns: Percentage of income from
More informationIEEE Transactions on Image Processing EiC Report
IEEE Transactions on Image Processing EiC Report Clem Karl 9/23/2013 Appreciation of AE Effort AEs are on the front lines of TIP AE effort makes the journal what it is Thank you! 2 Outline TIP Overview
More informationnatural gas World Oil and Gas Review
natural gas Reserves Production Reserves/Production Ratio Consumption Per Capita Consumption Production/Consumption Ratio Exports Imports Traded Gas LNG - Liquefaction and Regasification Capacity Natural
More informationFlorida's Refugee Population Statistical Report
Florida's Refugee Population Statistical Report October 1 st, 2008 September 30 th, 2009 And Federal Fiscal Year 2005-2009 Courtesy of the US Coast Guard Prepared By: Florida Department of Children & Families
More information